Rheological Characteristics Evaluation of Bitumen Composites Containing Rock Asphalt and Diatomite

Huang, Wentong; Wang, Duanyi; He, Peiyong; Xiang, Ling; Tong, Bing; Tian, Jun; Peng, Yu

doi:10.3390/app9051023

Cited by 23 publications

(11 citation statements)

References 25 publications

(26 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A loading frequency of 10 Hz corresponds to a speed of 60 km/h, while a loading frequency of 15 Hz corresponds to a speed of 90 km/h. The complex modulus and phase angle values vary significantly with temperature and frequency (W. Huang et al, 2019).…”

Section: Methods Dynamic Shear Rheometer (Dsr)mentioning

confidence: 99%

Determination of Complex Modulus Values of Low-Density Polyethylene Modified Bitumen Obtained by Using Two Different Waste Types with Artificial Neural Networks

Ozdemir¹,

Yalçın²,

Yılmaz³

2021

EPSTEM

View full text Add to dashboard Cite

The present study aims to solve an important environmental problem and improve the performance properties of bitumen by using two types of waste low density polyethylene (LDPE). For this purpose, two types of additives, LDPE (A) and LDPE (B), were added to the pure binder at the rates of 1%, 2%, 3% and 4% to obtain modified binders. Then, Dynamic Shear Rheometer experiments were applied on the binders under different temperatures and frequencies, and their behavior under these conditions was investigated. The complex shear modulus values obtained as a result of the experiment were estimated with Artificial Neural Network models created by training with different training algorithms. Experimental results showed that both additives increased the complex modulus values of the binder, with the LDPE (A) additive having higher complex modulus values compared to the LDPE (B) additive. In addition, it was determined that the model obtained with the Levenberg-Marquardt training algorithm gave the best results and it was concluded that the complex module values of asphalt binders can be successfully estimated using Artificial Neural Networks.

show abstract

Section: Methods Dynamic Shear Rheometer (Dsr)mentioning

confidence: 99%

Determination of Complex Modulus Values of Low-Density Polyethylene Modified Bitumen Obtained by Using Two Different Waste Types with Artificial Neural Networks

Ozdemir¹,

Yalçın²,

Yılmaz³

2021

EPSTEM

View full text Add to dashboard Cite

show abstract

“…10 Hz'lik yükleme frekansı 60 km/saat'lik hıza tekabül ederken, 15 Hz'lik yükleme frekansı 90 km/saat hıza karşılık gelmektedir. Kompleks modül ve faz açısı değerleri sıcaklık ve frekans ile önemli ölçüde değişmektedir [41].…”

Section: öZellik Değerunclassified

Predicting The Complex Modulus of Magnetic Activated Carbon Modified Bitumen Using Artificial Neural Networks

Ozdemir

Yilmaz

Akgün

2021

Düzce Üniversitesi Bilim Ve Teknoloji Dergisi

View full text Add to dashboard Cite

Bu çalışmada Manyetik Aktif Karbon (MAK) ile modifiye edilmiş bitümlü bağlayıcının reolojik özellikleri araştırılmış ve sonuçlar yapar sinir ağları ile tahmin edilmiştir. Çalışma kapsamında B160/220 penetrasyon sınıfı bitümlü bağlayıcıya %5, %10 ve %15 oranlarında MAK ilave edilerek modifiye bitümler elde edilmiş, ardından bitümler üzerinde Dinamik Kayma Reometresi (DSR) cihazı ile on farklı frekansta (0.01-10Hz) ve dört farklı sıcaklıkta (40°,50°,60°,70°C) frekans taraması testi gerçekleştirilmiştir. Sonuçlar, MAK ilavesinin kompleks modül değerlerini artırıp, faz açısı değerlerini azaltarak bitümlü bağlayıcının elastik özelliklerini geliştirdiğini göstermiştir. Daha sonra frekans, katkı oranı ve sıcaklık değerlerine bağlı olarak değişen kompleks modül ve faz açısı değerleri yapay sinir ağları yöntemi ile tahmin edilmiştir. Sonuçlar, kompleks modül ve faz açısı değerlerinin oldukça yüksek doğrulukta düşük hata ile elde edilebileceğini göstermiştir.

show abstract

“…The SBR can also provide good low-temperature performance for the asphalt binders modified by other materials. Besides, compared with the widely used SBS modified asphalt, the superior processability, economic efficiency, and environmental benefits of rock asphalt and SBR can make them appropriate additives to enhance the performance of base asphalt [15][16][17][18]. Some researchers have verified the expedience of other natural asphalts and SBR as compound modified materials in asphalt, including gilsonite and Lack asphalt.…”

Section: Introductionmentioning

confidence: 99%

Performance and Mechanism of Asphalt Modified by Buton-Rock Asphalt and Different Types of Styrene-Butadiene-Rubber

Gao

et al. 2020

Applied Sciences

View full text Add to dashboard Cite

In this paper, two types of Styrene-Butadiene-Rubber (SBR) were adopted to modify the Buton-rock asphalt (BRA) modified asphalt, aiming to select a binder with excellent comprehensive performances. Powder SBR and latex SBR (0%, 2%, 4%, 6%, and 8%), were mixed with the 15 w% BRA modified asphalt. The characterization of rheological properties included dynamic shear rheometer, rotational viscometer, and bending beam rheometer test. The short-term aging performance was characterized by the ratio of the complex shear modulus from the un-aged and rolling thin film oven (RTFOT) -aged asphalt. Besides, Fourier transform infrared spectroscopy and scanning electron microscopy were conducted to reveal the modification mechanism. It was observed that the two kinds of BRA-SBR modified asphalt had preferable anti-crack capacity at low temperatures than the BRA modified asphalt. Compared with latex SBR, the powder SBR significantly improved the high-temperature performance, and the anti-aging capacity was stable. However, some negative influence occurred by the addition of latex SBR on the anti-rutting and short-term aging property. According to the micro-mechanism analysis, adding powder SBR and latex SBR into BRA modified asphalt was a physical blending process, and they improved the dispersion state of BRA in asphalt. Based on the comprehensive performance, the recommended combination was BRA and powder SBR.

show abstract

Rheological Characteristics Evaluation of Bitumen Composites Containing Rock Asphalt and Diatomite

Cited by 23 publications

References 25 publications

Determination of Complex Modulus Values of Low-Density Polyethylene Modified Bitumen Obtained by Using Two Different Waste Types with Artificial Neural Networks

Determination of Complex Modulus Values of Low-Density Polyethylene Modified Bitumen Obtained by Using Two Different Waste Types with Artificial Neural Networks

Predicting The Complex Modulus of Magnetic Activated Carbon Modified Bitumen Using Artificial Neural Networks

Performance and Mechanism of Asphalt Modified by Buton-Rock Asphalt and Different Types of Styrene-Butadiene-Rubber

Contact Info

Product

Resources

About